Volume 12 | Issue 6 |

 Abstract

Numerous different kinds of bacteria, fungi, and viruses reside in the human epidermis. It has been established that these bacteria vary between individuals and between different parts of the skin. Although the causes of the skin microbiome's particular heterogeneity are still not fully understood, the findings indicate that host genetic and environmental factors play a key part. Although the causes of the skin microbiome's particular heterogeneity are still not fully understood, the findings indicate that host genetic and environmental factors play a key part. Recent metagenomic studies that have uncovered a remarkable variety within these ecosystems have prompted a new understanding of commensal microbes as having a significantly broader function in immune control and epithelial health than previously understood.

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 Keywords

Skin Microbiome, Atopic dermatitis, Staphylococcus aureus, Staphylococcus epidermidis, Immunity, Metagenomics, Antibiotic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cognitive Sensor Networks (CSNs) have emerged as a critical component in the development of smart environments, enabling more intelligent and adaptive systems. Integrating advanced machine learning (ML) techniques within CSNs can significantly enhance their capabilities, leading to higher accuracy in data analysis, improved energy efficiency, and greater adaptability. This paper explores various ML techniques, including supervised learning, unsupervised learning, reinforcement learning, and deep learning, and their application in CSNs. We propose a comprehensive system architecture that leverages these techniques for efficient data processing, adaptive decision-making, and resource management. Comparative numerical analysis demonstrates the proposed system's superior performance over traditional systems, highlighting improvements in detection accuracy, energy consumption, latency, and adaptability. The results indicate that ML-enhanced CSNs can provide more efficient and responsive smart environment applications. Future research directions are discussed to further refine these techniques and explore their application in diverse real-world scenarios.

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 Keywords

Cognitive Sensor Networks (CSNs), Machine Learning (ML), Smart Environments, Data Analysis, Energy Efficiency, Adaptive Systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this regard, the Internet of Things (IoT) based Smart Shopping Cart is proposed which consists of Radio Frequency Identification (RFID) sensors, NodeMCU

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Iot based smart cart

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Visual sorting application developed using Html, CSS, JavaScript, Bootstrap, React.js (Frontend), Node.js (Backend). A study that tested the benefits of animated sorting algorithms for teaching. To visualize four sorting algorithms, a web-based animation application was constructed and visualization of data is implemented as a bar graph, after which a data sorting and algorithm may be applied. Data Structures and Algorithm (DSA) Can play a crucial role in a visual sorting application. In this application used to visualize seven commonly sorting Algorithm: Bubble sort, Selection sort, Quick sort, Merge sort, Heap sort and Tim sort .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Sorting Algorithm Visualization, Sorting Algorithm Demos, Interactive Sorting Algorithms, Array Sorting Visualization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Major cities have been growing very fast due to good facilities for health and education. These also provide plenty of employment opportunities. The growing population also increases solid waste, which is the main cause of health hazards and pollution. So it needs an environment-friendly solution for its disposal. Only 31% of the Indian population resides in urban areas, this population generates a gigantic 1,43,449 metric tonnes per day of municipal solid waste, as per the Central Pollution Control Board, 2014-15. To further add to the problem, the total number of towns in the country has also increased from 5,161 in 2001 to 7,936 in 2011, thus increasing the number of municipal waste generation by 2,775 within a decade (GOI-manual, 2016). The three landfills in the national capital, Delhi i.e. Ghazipur, Bhalswa and Okhla landfills are examples of mismanagement of solid waste management. It can be possible by involving people at large and giving them good opportunities to earn from this garbage. This paper throws light on this grave concern and searches for people's awareness on a large scale to stimulate their participation and form a habit of solving this problem from its source of origin.

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 Keywords

Solid Waste, Garbage, pollution, people, environment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a comprehensive comparative analysis of various Artificial Intelligence (AI) algorithms utilized for the prediction of Polycystic Ovarian Disease (PCOD). PCOD, a multifaceted endocrine disorder affecting women, poses diagnostic challenges due to its diverse clinical manifestations. Imposing AI in healthcare, particularly for predictive modeling, has gained traction for its potential to enhance diagnostic accuracy and treatment outcomes. This study systematically evaluates and compares the performance of distinct AI algorithms employed in PCOD prediction using relevant datasets. The findings of this comparative analysis aim to guide practitioners and researchers in selecting the most suitable AI algorithms for effective PCOD prediction, thereby facilitating early diagnosis and personalized healthcare interventions.

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 Keywords

PCOD Prediction, Artificial Intelligence Algorithms, Machine Learning Techniques, Healthcare Applications

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hindi kahaniyo me Gramin Jivan ka Chitran

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Creative Commons Attribution 4.0 and The Open Definition

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Hindi kahaniyo me Gramin Jivan ka Chitran

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "Food for all" is an innovative full-stack development project with a noble mission: to bridge the gap between surplus restaurant food and the pressing needs of non- governmental organizations (NGOs) working to alleviate hunger.This project brings together the power of technology, the commitment of local restaurants, and the mission of NGOs to ensure that excess food is redirected to those in need, thereby reducing food wastage and addressing the critical issue of hunger. Food For All will be designed and developed to overcome the drawbacks of old manual system of sharing waste food. This system will digitalize the waste food donation. It will bring transparency between donors and receivers. It will save time & energy of everyone using this portal. For NGO's helping poor and needy, this system is easy to find food for donation. For companies also this system is easy to find waste food from donors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NGO,Donor,Customer,web application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media influencers are winning over the internet with their outstanding presence and work. Their opinions have a powerful impact on people especially on young generation. There are several social media platforms like Instagram, Twitter, Facebook, LinkedIn, YouTube where influencer marketing takes place which gains momentum among youth. This study aims to understand the awareness of influencer marketing among youth and also to understand the preference of social media platforms by youth for influencer marketing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marketing tools, Influencer marketing, social media

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The architectural design of safe houses for orphans is a critical multidisciplinary field that addresses the needs of vulnerable children. This paper reviews historical contexts, psychological considerations, local wisdom, and sustainability in orphanage design, drawing from diverse sources. Historical precedents show the evolution of orphanage architecture, while modern principles emphasize psychological well-being, cultural sensitivity, and sustainability. By blending architecture with imagination and considering cultural and psychological factors, architects can create spaces that foster the holistic development and well-being of orphaned children.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Orphanage Design, Innovative Architectural Solutions, Safe Housing for Orphans

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Creative Commons Attribution 4.0 and The Open Definition